US2008288522A1PendingUtilityA1

Creating and storing a data field alteration datum using an analytic platform

55
Assignee: HUNT HERBERT DENNISPriority: Jan 26, 2007Filed: Jan 31, 2008Published: Nov 20, 2008
Est. expiryJan 26, 2027(~0.5 yrs left)· nominal 20-yr term from priority
Inventors:Herbert Dennis HuntJohn Randall WestMarshall Ashby GibbsBradley Michael GriglioneGregory David Neil HudsonAndrea BasilicoArvid C. JohnsonCheryl G. BergeonCraig Joseph ChapaAlberto AgostinelliJay Alan YuskoTrevor MasonTing Liu
G06Q 10/06
55
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Claims

Abstract

A method for reading the altered data field in accordance with the field alteration data is provided. The method may include altering a data field characteristic of a data field in a data table, saving the field alteration datum associated with the alteration in a data storage facility, submitting a query requiring the use of the data field in the dataset and reading the altered data field in accordance with the field alteration data. The alteration may generate a field alteration datum and a component of the query may consist of reading the field alteration data.

Claims

exact text as granted — not AI-modified
1 . A method comprising:
 altering a data field characteristic of a data field in a data table to provide an altered data field including an alteration, wherein the alteration generates a field alteration datum;   saving the field alteration datum associated with the alteration in a data storage facility;   submitting a query requiring a use of the data field in a dataset, wherein a component of the query consists of reading the field alteration datum; and   reading the altered data field in accordance with the field alteration datum.   
   
   
       2 . The method of  claim 1  wherein the data table is a fact data table. 
   
   
       3 . The method of  claim 1  wherein the fact data table is a retail sales dataset. 
   
   
       4 . The method of  claim 1  wherein the fact data table is a syndicated sales dataset. 
   
   
       5 . The method of  claim 4  wherein the syndicated sales dataset is a scanner dataset. 
   
   
       6 . The method of  claim 4  wherein the syndicated sales dataset is an audit dataset. 
   
   
       7 . The method of  claim 4  wherein the syndicated sales dataset is a combined scanner-audit dataset. 
   
   
       8 . The method of  claim 1  wherein the fact data table is point-of-sale data. 
   
   
       9 . The method of  claim 1  wherein the fact data table is a syndicated causal dataset. 
   
   
       10 . The method of  claim 1  wherein the fact data table is an internal shipment dataset. 
   
   
       11 . The method of  claim 1  wherein the fact data table is an internal financials dataset. 
   
   
       12 . The method of  claim 1  wherein the data table includes dimension data. 
   
   
       13 . The method of  claim 12  wherein the dimension is a store. 
   
   
       14 . The method of  claim 12  wherein the dimension is a hierarchy. 
   
   
       15 . The method of  claim 12  wherein the dimension is a category. 
   
   
       16 . The method of  claim 12  wherein the dimension is a data segment. 
   
   
       17 . The method of  claim 12  wherein the dimension is a time. 
   
   
       18 . The method of  claim 12  wherein the dimension is a venue. 
   
   
       19 . The method of  claim 12  wherein the dimension is a geography. 
   
   
       20 . The method of  claim 12  wherein the dimension is a demographic. 
   
   
       21 . The method of  claim 12  wherein the dimension is a behavior. 
   
   
       22 . The method of  claim 12  wherein the dimension is a life stage. 
   
   
       23 . The method of  claim 12  wherein the dimension is a consumer segment.

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